Table of Contents
Introduction
If you’ve ever tried to prospect using “generic” lists, you already know how it goes: lots of emails, not much engagement, and plenty of time wasted. I’ve been on teams where we’d spend hours researching companies and contacts manually—only to find out the person wasn’t actually in the market right now. That’s the real problem with static lead lists. They don’t tell you what’s happening today.
getsignals(in) is built around the idea that social activity can be a proxy for intent—things like brand mentions, competitor chatter, hiring posts, funding news, and people discussing industry problems. Instead of only tracking engagement metrics, it tries to turn those signals into actionable leads for B2B outreach.
In this review, I’m going to break down what getsignals(in) does, how the workflow is supposed to work, and where I think it’s a great fit (and where it probably won’t replace your existing stack). I’ll also call out the parts that are hard to verify publicly, because you shouldn’t have to “trust me” when you’re deciding whether to pay for a tool.
What Is getsignals(in)?
At a high level, getsignals(in) is a B2B-focused social listening and signal discovery platform. The goal is to monitor online conversations across social platforms and relevant web sources to find “buying signals”—mentions and discussions that suggest someone is actively problem-aware or in-market.
Where it differs from the usual “brand monitoring” tools is that it’s aiming for intent-driven outcomes. The platform isn’t just showing you that people talked about something; it’s trying to identify the accounts or individuals behind those conversations and package them into something sales/marketing can act on.
That said, I want to be clear: some of the more detailed claims (like exactly which contact fields are always included, and how “verified” is verified) are hard to confirm without seeing exports. So in the rest of this review, I’ll stick to what’s clearly presented in the product materials and call out where you should verify during your own test.
Key Features (In-Depth Analysis)
AI-Powered Social Listening
The core feature is continuous monitoring for signals tied to your targets—your brand, competitors, and industry keywords. In practice, this is what you use to build an “intent radar.” When someone posts, comments, or otherwise engages around a relevant topic, the platform should surface that activity so you can respond quickly.
What I like about this approach is that it’s not limited to your own account. You’re not waiting for followers to reach you. You’re watching for conversations where your ICP might already be raising the exact issue you sell into.
Market and Competitor Intelligence
getsignals(in) also positions itself as a way to track broader market movement—things like competitor activity, hiring, funding-type signals, and stakeholder changes. The idea is that you can spot shifts early and adjust messaging or outreach before everyone else does.
If you’re running a competitive sales motion, this is the kind of “always-on context” that can make your first-touch messaging sharper. Instead of “We noticed you’re hiring,” you can reference the specific signal the platform picked up and tie it to a relevant solution.
Lead and Signal Discovery
This is the feature that matters most for B2B teams: turning social activity into leads. The platform highlights engaged accounts/individuals and then (based on its own workflow) aims to provide contact-level details so you can reach out.
Here’s where you should verify carefully. It’s one thing to say “contact-level buyer data,” and another to confirm what you actually get in a real export (emails? mobile numbers? company domain only? social profile URLs?). During any trial, I’d strongly recommend you export a small batch and check the fields line-by-line before you assume it’ll work with your CRM.
Usage-Based Credit System
getsignals(in) uses credits for monitoring/reporting and (as described) consumes credits as signals are tracked and exported. The rollover part is important for budgeting—if you don’t use every credit month-to-month, you don’t want that spend to disappear.
In my experience, this is usually the difference between “sounds good” and “actually predictable.” If the credit system is transparent and consistent, teams can plan campaigns without guessing how quickly credits will burn.
Custom Client Plans
For larger teams, the platform mentions custom enterprise plans. In practice, you’ll want to ask what “custom” actually includes—data sources, volume limits, support, and whether there’s any API access or deeper integrations.
Also, if you’re a security/compliance-heavy organization, don’t assume enterprise means “easy.” Ask for specifics: data handling, governance, and whether SSO is available.
Dashboard and Reporting
The dashboard is where you view tracked signals and summaries. Even without seeing a ton of public documentation, the main value here is straightforward: you need a place to review what the system found, adjust what it watches, and then export/push leads when they match your ICP.
What I look for in a dashboard like this: clear filters, quick keyword/ICP adjustments, and exports that are consistent (same columns, same formats). If those are solid, the product becomes usable fast.
How getsignals(in) Works
- Onboarding & Setup: You create an account and configure your initial targets—industry focus, competitors, and key topics/keywords. The product materials state setup can take about five minutes. In a real trial, I’d time it yourself and note exactly what you had to enter (and what you didn’t). If you can, take a quick screenshot of the dashboard after setup so you can confirm the signals you’re actually tracking.
- Building Signals & Monitoring: After your ICP and keywords are set, getsignals(in) starts monitoring in real time. The interface is expected to show mentions/engagement and associated contact details for active users. What you want to check here: does it show the reason the signal was flagged (keyword match? topic tag? source link)? Without context, outreach gets harder.
- Exporting & Outreach: The platform describes auto-export of engaged user profiles—up to 500 at a time—including “verified” contact info. It also claims you can push into tools like Lemlist, HubSpot, or LinkedIn. Before you build a workflow around this, export a small batch (like 20–50 leads) and confirm:
- Which fields are included (email, mobile, LinkedIn URL, company name, job title, etc.)
- Whether the contact fields are actually populated or sometimes blank
- How “verified” is represented (a tag, a confidence score, or just a label)
- Ongoing Engagement & Optimization: You keep monitoring, refine keywords, and focus on the highest-value prospects. This is where the credit system matters—if you’re constantly changing queries, you’ll want to understand how that affects credit consumption.
One thing the product emphasizes is minimizing friction—quick onboarding, an intuitive dashboard, and automation for exports. That’s a good sign for teams that don’t want another “data platform” to learn. Still, if your decision depends on integrations and contact field coverage, don’t rely on assumptions. Validate it with exports during your own trial.
Pricing Analysis
| Plan Name | Price | Key Features | Best For |
|---|---|---|---|
| Free Tier | $0/month |
|
Small teams or individuals wanting an introduction to social listening with no initial cost |
| Pro Monthly | $45/month |
|
Small to mid-sized B2B teams seeking affordable, automated social listening with flexible scaling |
| Custom Enterprise Plans | Variable (contact sales) |
|
Larger organizations with complex needs, requiring tailored solutions and higher data security |
Let’s talk value. The $45/month PRO plan is positioned as an affordable entry point compared to enterprise social listening tools (Brandwatch, Meltwater, etc.). If you’re a small-to-mid-sized B2B team, this price point can actually fit into a normal marketing or sales ops budget.
That said, there’s an inconsistency you should double-check: the page includes a Free Tier with $0/month in the pricing table, but the FAQ claims there’s no free version and only a paid PRO plan. Before you sign up, I’d confirm what’s currently available on your account page (and whether the free credits are still offered).
Also, “unlimited signal monitoring” is great—until you realize that exports and tracked outputs are often the credit-consuming part. So if you plan to export frequently, monitor how credits are used during your first week.
For most teams, the biggest question isn’t “is it cheap?” It’s “does it produce usable leads fast enough to matter?” If the exports include the fields you need and the signals are relevant to your ICP, the cost becomes easier to justify.
Pros
- B2B-specific intent signals: It’s built to focus on buying intent and problem-aware conversations, not just generic brand mentions.
- Affordable PRO pricing: The $45/month plan is a lot easier to test than enterprise social listening suites.
- Usage-based credits with rollover: In theory, you can avoid wasted spend if your campaign cadence changes.
- Automation for exports: The workflow is designed to reduce manual research after the signals are found.
- Real-time market context: The monitoring is meant to catch things like hiring, funding-type signals, and stakeholder movement.
- Contact-level outreach data (verify it): The platform claims “verified” contact details—emails and social profiles are mentioned—so you’ll want to confirm what’s actually populated in exports.
- Quick onboarding: The setup is described as taking about five minutes, which is a big deal for teams that don’t want a long implementation.
Cons
- Some details are hard to verify publicly: Integration depth, API availability, and “verified” rules aren’t fully documented in the materials here.
- Integration claims need confirmation: “Push into your CRM” sounds great, but you should test the actual connection method (native vs CSV export vs Zapier-style workflow).
- Enterprise feature list isn’t clearly spelled out: If you need SSO, compliance controls, or governance features, you’ll likely have to request specifics.
- Pricing FAQ vs pricing table mismatch: Free tier availability is inconsistent between sections—confirm before you rely on it.
- Lead quality depends on setup: If your keywords/ICP are too broad, you’ll likely get noise. You’ll need to iterate.
- Potential hidden costs: If higher volume or advanced integrations require custom pricing, it could end up more expensive than expected.
Best Use Cases for getsignals(in)
- Targeted B2B outreach (with a real signal trigger): Set up keywords around a pain point your buyers discuss publicly (for example, “security compliance gaps,” “SOC 2 timeline,” “GDPR vendor,” or “SOC analyst hiring” depending on your niche). Then act when the platform surfaces posts or mentions tied to those keywords. The workflow you’re aiming for: monitor → export engaged profiles → add to your outreach list → send a message that references the specific signal.
- Competitor and market monitoring: Track competitor brand terms plus related industry keywords. When you see spikes in mentions (product launches, hiring, or stakeholder chatter), you can tailor follow-ups. What to do: export a small batch and compare the roles/titles to your ideal buyer persona.
- Brand and stakeholder reputation tracking: Monitor your own brand and key leaders. When someone mentions you in a relevant context, you can respond quickly—especially if they’re asking questions or discussing alternatives.
- Industry trend spotting for messaging: If the platform flags recurring discussions around a topic you sell into, use that to update landing pages, sales decks, or email sequences. This is one of those use cases where “signal speed” matters more than perfect analytics.
- Event and stakeholder tracking: Use signals around hiring, funding, partnerships, or announcements. Then align outreach timing: “Congrats on the new team” messages can work better when they’re tied to a verified signal rather than a guess.
- Lead qualification automation: Treat the exported list as a “warm lead” layer. Instead of scoring every lead the same way, prioritize people whose activity matched your keywords recently. Then measure: reply rates from signal-driven leads vs your usual cold list.
In my view, getsignals(in) is most useful when you already know your ICP and you can turn signals into a specific outreach angle. If you don’t have that messaging discipline, the tool can still find activity—but it won’t magically create relevance.
Who Should Not Use getsignals(in)
Not every team should buy a social listening-to-leads tool. If you mainly need social media publishing, community management, or broad consumer analytics, you’ll probably get more value from platforms built for that (like Sprout Social or similar suites).
Also, if your enterprise needs are extremely specific—SSO, strict compliance requirements, governance controls, or deep security reviews—don’t assume getsignals(in) will meet them without a detailed sales/support conversation. The materials here don’t provide enough detail to confidently say “yes” for regulated workflows.
Smaller startups can also run into a mismatch if they don’t have the bandwidth to act on leads quickly. Social signals lose value when outreach is slow. If your team can’t follow up within 24–72 hours, you might see weaker returns.
Bottom line: getsignals(in) fits best for B2B sales and marketing teams that want intent-based prospecting and are willing to validate lead quality during setup.
Alternative 1: Brandwatch
- What it does differently: Brandwatch is a more enterprise-grade social listening and analytics platform with deeper AI insights, broader data sources, and heavier integration potential.
- Price comparison: It’s typically priced in the thousands per year (often far more than $45/month), depending on data volume and features.
- When to choose it OVER getsignals(in): If you need large-scale enterprise monitoring, advanced analytics, and robust integrations across teams and regions.
- When getsignals(in) is the better choice: If you want a focused B2B signals workflow with a more budget-friendly starting point and simpler setup.
Alternative 2: Sprout Social
- What it does differently: Sprout Social is primarily a social media management platform with listening features, plus scheduling and collaboration tools.
- Price comparison: Plans often start around $99/month for basic tiers, which is higher than the $45/month PRO plan.
- When to choose it OVER getsignals(in): If your priority is actually managing and engaging on social channels day-to-day, with listening as a supporting feature.
- When getsignals(in) is the better choice: If you’re specifically chasing B2B buying signals and want a more specialized, intent-focused lead workflow.
Alternative 3: Mention
- What it does differently: Mention focuses on real-time web and social monitoring with a lighter approach, usually without the same depth of B2B intent-to-lead workflow.
- Price comparison: Basic plans can start around $29/month, which may be slightly cheaper depending on your needs.
- When to choose it OVER getsignals(in): If you only need quick monitoring of mentions and keywords, and you don’t care about turning it into contact-level leads.
- When getsignals(in) is the better choice: If you want deeper B2B market intelligence focused on buying signals and actionable prospect lists.
Alternative 4: Meltwater
- What it does differently: Meltwater combines media monitoring, social listening, and analytics with a strong PR and enterprise media focus.
- Price comparison: Pricing is typically custom and often runs into premium territory, frequently far above $45/month.
- When to choose it OVER getsignals(in): If you need comprehensive enterprise media/social monitoring, advanced dashboards, and large-team analytics.
- When getsignals(in) is the better choice: If you’re a smaller B2B team and want a more affordable, faster-to-implement signals tool.
Summary
Big enterprise tools like Brandwatch and Meltwater make sense when you need heavy analytics and broad organizational coverage. getsignals(in) is more about affordability and a B2B-ready signals workflow—so the “right” choice depends on whether you want a full enterprise monitoring suite or a focused intent-to-outreach system.
Our Verdict
I’m going to be honest here: without publicly verifiable screenshots of exports, dashboard behavior, and the exact fields returned, I can’t treat this as a fully “proven” hands-on review. What I can say is that the positioning is clear—B2B social listening with intent-driven signals, plus an export/push workflow that’s meant to reduce manual prospecting.
Based on the information available, I’d give getsignals(in) a solid “test it” score—and I’d only call it an 8/10 if your trial exports match what you need (especially the contact fields and “verified” status). If the leads are relevant and the workflow is smooth, it can be genuinely useful for teams trying to find in-market buyers faster.
I recommend it most to B2B sales and marketing teams that:
- Have a clear ICP and keyword strategy
- Can follow up quickly after signals appear
- Want an affordable alternative to enterprise social listening
If you’re an enterprise team needing deep compliance, SSO, governance, or advanced analytics, you’ll likely want to look at more established platforms and validate requirements in a discovery call.
So yes—if you’re small to mid-sized and you want intent-based outreach with less manual research, getsignals(in) is worth trying. Just do it with a plan to verify exports and integrations during your first setup.
Frequently Asked Questions
- Is getsignals(in) worth it?
- It can be worth it for small to mid-sized B2B teams that want affordable social listening and a workflow to turn signals into outreach lists. The real deciding factor is whether exports include the contact fields you need and whether the signals match your ICP.
- Is there a free version of getsignals(in)?
- The pricing table shows a Free Tier with $0/month and 100 free credits. However, the FAQ text also says there’s no free version and only a paid PRO plan at $45/month. Before you rely on either statement, check the sign-up/account page for the current offer.
- How does getsignals(in) compare to Brandwatch?
- Brandwatch is more enterprise-focused with deeper analytics and broader monitoring. It also costs much more. getsignals(in) is positioned as a more affordable, B2B-focused signals tool that’s easier to start with.
- Can getsignals(in) integrate with other tools?
- Public integration details are limited. The materials mention integrations (including apps like Slack and tools such as Lemlist and HubSpot), but you should confirm whether it’s native integration, a specific connector, or an export format you then import elsewhere.
- What is the pricing structure?
- The pricing shown here is: Free Tier ($0/month, 100 credits), PRO Monthly ($45/month, 1000 credits/month, rollover), and Custom Enterprise Plans (variable, contact sales).
- Does getsignals(in) support large teams or enterprise use?
- There are custom enterprise plans, but the documented details are limited. Larger teams should request specifics around volume, integrations, security, and any enterprise controls they require.
- Is there a money-back guarantee?
- Refund or guarantee terms aren’t clearly stated here. If that matters to you, ask support directly before paying.
- How quickly can I start seeing results?
- Setup is described as quick (around five minutes), and you can begin tracking signals shortly after. Results depend on how well your keywords and ICP match real conversations in your market.
Ready to try getsignals(in)? Visit getsignals(in) — and when you do, test your exact ICP setup, export a small batch of leads, and confirm the contact fields and “verified” status before you scale.
